performance and Coverage analysis of mmWave 5G Networks

Step 2: Then, we will simulate and collect data such as received power, SINR, pathloss, and
channel statistics from multiple chunks of the served links between BS and UE.

Step 3: Next, we perform channel modeling analysis including path loss, macroscopic
fading, delay spread, angular spreads and K-factor based on collected data.

Step 4: Next, we compute derived independent SNR, spectral efficiency, and reconstruct
per-user distance-based data for performance evaluation based on collected data.

Step 5: Next, we analyze coverage range and massive MIMO impact across FR1(1GHz,
5GHZ) frequency based on collected data.

Step 6: Finally, we plot performance for the following metrics:

6.1: Distance (m) vs. Received Power (dBm)
6.2: Distance (m) vs. SINR (dB)
6.3: Distance (m) vs. Pathloss (dB)
6.4: Distance (m) vs. Spectral Efficiency (bps/Hz)
6.5: Distance (m) vs. Coverage Probability (%)
6.6: CDF of SNR
6.7: CDF of K factor
6.8: CDF of RMS Delay spread
6.9: CDF of RMS Angular spreads

Step 1: Initially, we construct a 5G network using 5G System Level Simulator (Vienna 5G
System level Simulator) configuration: 1 base station at the center of geographic area
of (200m by 200 m) dense Urban deployment and 1000 users distributed randomly
(Poisson 2D Distribution ). BS antenna Height is 10m or 15 m, UE antenna Height is 1.5
m as referenced in 3Gpp tr 38.

Step 2: Then, we will simulate and collect data such as received power, SINR, pathloss, and
channel statistics from multiple chunks of the served links between BS and UE.

Step 3: Next, we perform channel modeling analysis including path loss, macroscopic
fading, delay spread, angular spreads and K-factor based on collected data.

Step 4: Next, we compute derived independent SNR, spectral efficiency, and reconstruct
per-user distance-based data for performance evaluation based on collected data.

Step 5: Next, we analyze coverage range and massive MIMO impact across FR2(12, 28 GHZ, 50 GHz) frequency based on collected data.

Step 6: Finally, we plot performance for the following metrics:

6.1: Distance (m) vs. Received Power (dBm)
6.2: Distance (m) vs. SINR (dB)
6.3: Distance (m) vs. Pathloss (dB)
6.4: Distance (m) vs. Spectral Efficiency (bps/Hz)
6.5: Distance (m) vs. Coverage Probability (%)
6.6: CDF of SNR
6.7: CDF of K factor
6.8: CDF of RMS Delay spread
6.9: CDF of RMS Angular spreads

Software Requirements:

1. Development Tool: Matlab-R2023a or above
2. Operating System: Windows-10 (64-bit) or above

Note:

5) If you have seperate tool access for Vienna 5G SLS simulator,kindly provide us(Downloadable Link, file or package) ,otherwise we will work based on customized MATLAb based 5G SLS toolbox configurations.Kindly confirm us